Probabilistic types have gotten more and more vital in analysing the massive volume of knowledge being produced by way of large-scale DNA-sequencing efforts equivalent to the Human Genome undertaking. for instance, hidden Markov versions are used for analysing organic sequences, linguistic-grammar-based probabilistic versions for deciding upon RNA secondary constitution, and probabilistic evolutionary versions for inferring phylogenies of sequences from assorted organisms. This ebook offers a unified, updated and self-contained account, with a Bayesian slant, of such tools, and extra regularly to probabilistic tools of series research. Written by way of an interdisciplinary crew of authors, it goals to be available to molecular biologists, laptop scientists, and mathematicians with out formal wisdom of the opposite fields, and even as current the cutting-edge during this new and hugely very important box.

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